理解O-RAN：体系结构、接口、算法、安全性和研究挑战
Understanding O-RAN: Architecture, Interfaces, Algorithms, Security, and Research Challenges
摘要：
开放无线电接入网络（RAN）及其通过O-RAN联盟规范的体现正准备彻底改变电信生态系统。O-RAN促进虚拟化RAN，其中分散的组件通过开放接口连接并通过智能控制器进行优化。其结果是RAN设计、部署和运营的新范式：O-RAN网络可以使用多供应商、可互操作的组件构建，并且可以通过集中式抽象层和数据驱动的闭环控制进行编程优化。因此，了解O-RAN、其架构、接口和工作流程对于无线社区的研究人员和从业人员来说至关重要。在这篇文章中，我们介绍了关于O-RAN的第一个详细教程。我们还讨论了主要的研究挑战，并回顾了早期的研究成果。我们将深入介绍O-RAN规范，描述其架构、设计原理和O-RAN接口。然后，我们描述了O-RAN RAN智能控制器（RIC）如何用于有效地控制和管理3GPP定义的RAN。在此基础上，我们讨论了O-RAN网络的创新和挑战，包括架构和接口支持的人工智能（AI）和机器学习（ML）工作流程，安全性和标准化问题。最后，我们回顾了可用于设计和测试O-RAN网络的实验研究平台以及最近的研究成果，并概述了O-RAN发展的未来方向。
英文摘要：
The Open Radio Access Network (RAN) and its embodiment through the O-RAN Alliance specifications are poised to revolutionize the telecom ecosystem. O-RAN promotes virtualized RANs where disaggregated components are connected via open interfaces and optimized by intelligent controllers. The result is a new paradigm for the RAN design, deployment, and operations: O-RAN networks can be built with multi-vendor, interoperable components, and can be programmatically optimized through a centralized abstraction layer and data-driven closed-loop control. Therefore, understanding O-RAN, its architecture, its interfaces, and workflows is key for researchers and practitioners in the wireless community. In this article, we present the first detailed tutorial on O-RAN. We also discuss the main research challenges and review early research results. We provide a deep dive of the O-RAN specifications, describing its architecture, design principles, and the O-RAN interfaces. We then describe how the O-RAN RAN Intelligent Controllers (RICs) can be used to effectively control and manage 3GPP-defined RANs. Based on this, we discuss innovations and challenges of O-RAN networks, including the Artificial Intelligence (AI) and Machine Learning (ML) workflows that the architecture and interfaces enable, security and standardization issues. Finally, we review experimental research platforms that can be used to design and test O-RAN networks, along with recent research results, and we outline future directions for O-RAN development.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
